# Frigate - NVR With Realtime Object Detection for IP Cameras A complete and local NVR designed for HomeAssistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead. - Tight integration with HomeAssistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration) - Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary - Leverages multiprocessing heavily with an emphasis on realtime over processing every frame - Uses a very low overhead motion detection to determine where to run object detection - Object detection with TensorFlow runs in separate processes for maximum FPS - Communicates over MQTT for easy integration into other systems - 24/7 recording - Re-streaming via RTMP to reduce the number of connections to your camera ## Documentation View the documentation at https://blakeblackshear.github.io/frigate